Embedding Timing Analysis: How to Add RocqStat/VectorCAST Visualizations to Your Docs and Demos

Stop shipping opaque timing reports — ship interactive, shareable WCET widgets

Engineers and verification leads: you know the friction. You run RocqStat or VectorCAST to generate timing and WCET reports, then paste static screenshots into PRs, slide decks, or pages that non‑engineers ignore. Review cycles stretch, auditors ask for reproducible artifacts, and demos stall while you re-run tools to answer one question: did the change increase worst‑case latency?

This guide shows how to convert timing analysis outputs into embeddable, interactive static HTML widgets you can host on htmlfile.cloud and drop into docs, PRs, or product pages. The widgets are lightweight, self‑contained, CI‑friendly, and built for engineering review workflows in 2026 — when timing analysis and unified toolchains (see Vector's RocqStat acquisition) are accelerating adoption across automotive and safety‑critical domains.

Why embeddable timing visualizations matter in 2026

Two late‑2025/early‑2026 trends make this approach essential:

• Unified toolchains: In January 2026 Vector Informatik acquired RocqStat to integrate timing analysis into VectorCAST. That signals consolidation: teams expect end‑to‑end verification and timing workflows tied to testing and CI, not siloed reports.
• Frictionless reviews: Distributed teams demand previews and embeddable artifacts in PRs, docs, and product pages — especially for WCET and timing that affect safety cases and release decisions. For teams shipping interactive artifacts, single-file, offline-capable widgets simplify review and reduce flakiness compared with large app bundles; see guidance on offline-first edge deployments.

"Vector will integrate RocqStat into its VectorCAST toolchain to unify timing analysis and software verification" — Automotive World, Jan 16, 2026

Who benefits

• Embedded software engineers validating latency and WCET
• Verification leads and safety engineers creating audit artifacts
• Product managers and customers reviewing timing regressions in PRs
• Docs teams publishing interactive demos that non‑technical reviewers can explore

Design principles for embeddable timing widgets

Keep these principles front and center when you design a widget that will live in a PR, documentation site, or product page:

• Single‑file, zero‑dependency: A standalone HTML file (HTML+CSS+JS) avoids hosting assets and simplifies sharing — a pattern long recommended in modern multimodal media workflows.
• Progressive enhancement: Provide a non‑JS fallback (CSV download or summary) for strict viewers and CI bots; see offline-first patterns for robust fallback behavior (offline-first).
• Small payload: Aim for under 200KB compressed. Use inline SVG over large chart libraries when possible.
• Accessible: Use ARIA labels and keyboard interactions for tooltips and zoom.
• Sandboxed embedding: Use iframes with appropriate sandbox attributes and postMessage for communication.
• CI friendly: Automate export+publish so each PR can show a fresh URL; tie this into your CI/CD pipeline and consider resilience lessons from recent outages and postmortems (postmortems).

Data sources and formats: from RocqStat / VectorCAST to widget

RocqStat and VectorCAST exports often include timing tables, path analyses, and WCET estimates. In 2026 you’ll see JSON and CSV exports as standard; if you only have XML, convert it during CI to JSON. Below is a pragmatic JSON schema you can produce post‑analysis and feed into widgets.

{
  "meta": {
    "tool": "RocqStat",
    "version": "2025.4",
    "runId": "build-1234",
    "timestamp": "2026-01-12T11:22:33Z"
  },
  "functions": [
    { "name": "commTask", "wcet_ns": 120000, "median_ns": 21000, "p95_ns": 110000, "path":"comm.c:232" },
    { "name": "controlLoop", "wcet_ns": 500000, "median_ns": 480000, "p95_ns": 499000, "path":"control.c:411" }
  ],
  "global": { "system_wcet_ns": 1500000 }
}

Export this JSON as part of your CI run. The widget reads it via an inline data blob or fetches a static JSON co‑located with the HTML file. For large teams, consider storing analytics-ready timing exports in a columnar store — techniques from ClickHouse for scraped data apply to stable, queryable timing exports.

Template: single‑file heatmap widget (standalone)

Below is a compact, copy‑pasteable template that renders a function‑level timing heatmap using inline SVG. It's intentionally dependency‑free and responsive. Host the file on htmlfile.cloud and embed the URL into PRs.

<!-- heatmap-widget.html -->
<!doctype html>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<title>Timing Heatmap</title>
<style>
  :root{--cell-h:28px;--gap:6px;font-family:Inter,system-ui,-apple-system,Segoe UI,Roboto}
  body{margin:10px;color:#111}
  .grid{display:grid;gap:var(--gap);grid-template-columns:repeat(auto-fill,minmax(220px,1fr))}
  .cell{padding:10px;border-radius:6px;background:#f7f9fc}
  .bar{height:12px;border-radius:6px;background:linear-gradient(90deg,#c6f6d5,#fefcbf,#fed7d7)}
  .name{font-weight:600;margin-bottom:6px;font-size:13px}
  .meta{font-size:12px;color:#555}
</style>
<div id="app">Loading widget…</div>
<script>(function(){
  // In practice, replace this with fetch('/data/wcet-1234.json') or embed JSON via build step
  const data = {
    meta:{tool:'RocqStat',runId:'pr-4321'},
    functions:[
      {name:'commTask',wcet_ns:120000,median_ns:21000},
      {name:'controlLoop',wcet_ns:500000,median_ns:480000},
      {name:'sensorRead',wcet_ns:90000,median_ns:30000}
    ]
  };

  const max = Math.max(...data.functions.map(f=>f.wcet_ns));
  const app = document.getElementById('app');
  const grid = document.createElement('div');grid.className='grid';

  data.functions.forEach(f=>{
    const el = document.createElement('div');el.className='cell';
    const name = document.createElement('div');name.className='name';name.textContent=f.name;
    const meta = document.createElement('div');meta.className='meta';meta.textContent=`WCET: ${Math.round(f.wcet_ns/1000)}µs • median ${Math.round(f.median_ns/1000)}µs`;
    const bar = document.createElement('div');bar.className='bar';
    const pct = Math.max(3,(f.wcet_ns/max)*100);
    bar.style.width = pct + '%';
    bar.setAttribute('role','img');bar.setAttribute('aria-label',`${f.name} wcet ${f.wcet_ns} ns`);
    el.appendChild(name);el.appendChild(meta);el.appendChild(bar);grid.appendChild(el);
  });
  app.innerHTML='';app.appendChild(grid);
})();</script>
<!-- End widget -->

How to customize: change color stops, convert ns→µs/ms, or add click handlers to open path details. Because the widget is a single file you can commit it to your repo and publish via CI.

Template: WCET timeline with zoom and CSV export

For PR reviews you often need a timeline comparing runs (base vs head). Use a small chart approach with SVG and simple pan/zoom handlers. Key UX: toggles to compare runs, CSV export, and copyable permalink.

1. Prepare JSON with runs: { runs: [{id:'base',timestamp:'',functions:[...]}, {id:'head',...}] }
2. Render timeline with SVG lines for system_wcet and shaded areas for confidence intervals.
3. Provide controls to toggle runs and to export the currently visible dataset as CSV.

This pattern lets reviewers quickly answer "Is system WCET worse in this PR?" without re-running tools locally.

Embedding and hosting on htmlfile.cloud

htmlfile.cloud is optimized for single‑file hosting, CDN delivery, and instant HTTPS — ideal for these widgets. Use one of these patterns to embed:

Basic iframe embed

<iframe src="https://htmlfile.cloud/your-team/pr-4321/heatmap-widget.html"
  title="Timing heatmap"
  style="width:100%;height:560px;border:0"
  sandbox="allow-scripts allow-same-origin"></iframe>

Sandbox attributes limit risk while allowing scripts. Use allow-same-origin if your file needs to read same‑origin cookies or storage (generally avoid). If your org runs an edge-powered SharePoint or similar internal CDN, these single-file artifacts are an easy fit for low-latency distribution.

Direct object/embed

Use <object> when you want a fallback message for older browsers, or embed as a Web Component for tighter integration:

<object type="text/html" data="https://htmlfile.cloud/your-team/pr-4321/heatmap-widget.html" style="width:100%;height:560px;border:0">
  <p>Preview unavailable. <a href="https://htmlfile.cloud/your-team/pr-4321/heatmap-widget.html">Open standalone</a>.</p>
</object>

CI/CD: automatic publish and PR preview workflow

Typical flow to automate widget publishing in GitHub Actions (summary):

1. Run RocqStat/VectorCAST in CI to export JSON.
2. Template‑render widget (replace inline JSON blob or upload JSON alongside HTML).
3. Upload final HTML to htmlfile.cloud via API or GitHub billing integration.
4. Post a PR comment with the widget URL and an embed snippet so reviewers see it live.

Example GH Action steps (pseudocode):

jobs:
  build-and-publish:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Run timing analysis
        run: ./run_roqcstat.sh --output results.json
      - name: Render widget
        run: node scripts/embed-json.js results.json heatmap-widget.html
      - name: Upload to htmlfile.cloud
        run: curl -X PUT -H "Authorization: Bearer ${{ secrets.HTMLFILE_TOKEN }}" \
          --data-binary @heatmap-widget-final.html \
          https://api.htmlfile.cloud/upload/your-team/pr-${{ github.event.number }}/heatmap.html
      - name: Comment with preview
        run: gh pr comment ${{ github.event.number }} --body "Preview: https://htmlfile.cloud/your-team/pr-${{ github.event.number }}/heatmap.html"

This ensures every PR gets an ephemeral, immutable preview URL for reviewers and auditors. If your org is concerned about redirect safety and link hygiene, consider adding signed checks or host-header validation in your publish step.

Security, performance, and verification checklist

• Sanitize inputs: Never eval raw XML/JS from tool outputs. Parse and validate JSON schema in CI; pair this with infrastructure-level hardening practices like robust patch management.
• Content Security Policy: Serve HTML with a strict CSP (no inline remote scripts). htmlfile.cloud supports per‑file CSP headers.
• Compress and cache: Use gzip/ brotli and set long cache TTLs with content‑hashing for stable artifacts. Edge distribution and caching guidance from edge-first live production playbooks is applicable (edge-first live production).
• Subresource Integrity: If you include third‑party libs, pin versions and use SRI.
• Accessibility: Add ARIA labels, focusable controls, and keyboard support for interactive elements.

Case study: How a verification team cut review time by 60%

A mid‑sized automotive team integrated RocqStat output into a heatmap widget and added a GitHub Action to publish the widget per PR. Before: reviewers requested local runs to confirm WCET regressions. After: reviewers clicked the embedded link in PR comments to inspect function‑level WCETs, compare base vs head, and download CSVs for spot checks.

Results in three months:

• Average PR review time decreased by 60% for timing‑sensitive PRs.
• Number of re‑runs requested dropped 80% because artifacts were reproducible and versioned.
• Auditors accepted widget URLs as part of the verification package during preliminary reviews, reducing audit turnaround.

That anecdote mirrors broader industry moves in 2026: tools and teams expect reviewable, embeddable artifacts as part of CI/CD and verification pipelines. Expect native export hooks and standardized JSON/CSV schemas by late 2026; these will make widget generation even simpler and allow ML-assisted triage to flag regressions automatically (AI training pipelines).

Advanced strategies & future predictions (2026+)

• Toolchain convergence: With Vector integrating RocqStat into VectorCAST, expect native export hooks and standardized JSON/CSV schemas by late 2026, making widget generation even simpler.
• Diff‑first reviews: Widgets that auto‑highlight regression deltas (WCET delta per function) will become standard in PRs — pairing diff-first UI with onboarding and automation patterns reduces friction for reviewers (reducing partner onboarding friction with AI).
• ML‑assisted triage: Machine learning will flag likely timing regressions versus noise, surfaced in widgets as priority annotations; see efficient model patterns in AI training pipelines.
• Audit‑grade artifacts: Signed and time‑stamped widget URLs with append‑only storage for safety cases and compliance evidence.

Actionable checklist & quick snippets

Use this checklist to go from analysis to embed in one sprint:

1. Export RocqStat/VectorCAST results to JSON (CI step).
2. Render a single‑file HTML widget using a lightweight template (heatmap or timeline).
3. Commit template to repo and add a build step to inject JSON into the widget or upload JSON alongside HTML.
4. Publish to htmlfile.cloud via API in your CI pipeline.
5. Post the preview URL as a PR comment and include an iframe snippet for docs.

Quick embed snippet to paste into docs or PR templates:

<iframe src="https://htmlfile.cloud/your-team/pr-4321/heatmap.html" title="Timing heatmap" style="width:100%;height:560px;border:0" sandbox="allow-scripts"></iframe>

Closing: start sharing timing insights, not screenshots

In 2026, timing analysis is too important to hide in PDFs. With RocqStat now part of the Vector ecosystem and teams demanding faster review loops, embeddable, interactive WCET widgets convert opaque reports into actionable artifacts. They reduce friction, speed reviews, and create reproducible evidence for safety cases.

Get started: export your RocqStat/VectorCAST JSON, drop it into a single‑file widget (use the heatmap template above), and publish to htmlfile.cloud as part of your CI. Share the preview link in PRs and watch review time drop. For teams building robust pipelines, consider storage and analytics practices from ClickHouse-style architectures for queryable exports.

Need a ready‑made template adapted to your output schema or a GitHub Action to publish automatically? Contact your tools team or try hosting a sample widget on htmlfile.cloud today and include it in your next PR.

Call to action: Build one widget, host it on htmlfile.cloud, and paste the preview link in a live PR. Measure review time on that PR — you’ll see the impact within your first week.

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